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y. wu*, p. chen, x. luo, m. wu, l. liao, s. yang, r. m. rangayyan. measuring signal fluctuations in gait rhythm time series of patients with parkinson's disease using entropy parameters, biomedical signal processing and control, 2017, 31: 265-271
y. wu*, p. chen, x. luo, h. huang, l. liao, y. yao, m. wu, r. m. rangayyan. 2016. quantification of knee vibroarthrographic signal irregularity associated with patellofemoral joint cartilage pathology based on entropy and envelope amplitude measures, computer methods and programs in biomedicine, 130: 1-12
y. wu*, p. chen, y. yao, x. ye, y. xiao, l. liao, m. wu, j. chen. dysphonic voice pattern analysis of patients in parkinson's disease using minimum inter-class probability risk feature selection and bagging ensemble learning methods, computational and mathematical methods in medicine, 2017: 4201984
s. yang, s. cai, f. zheng, *y. wu, k. liu, m. wu, q. zou, j. chen. 2014. representation of fluctuation features in pathological knee joint vibroarthrographic signals using kernel density modeling method, medical engineering and physics, 36(10): 1305-1311
*y. wu, s. yang, f. zheng, s. cai, m. lu, m. wu. 2014. removal of artifacts in knee joint vibroarthrographic signals using ensemble empirical mode decomposition and detrended fluctuation analysis, physiological measurement, 35(3): 429-439
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*r. m. rangayyan, f. oloumi, y. wu, s. cai. 2013. fractal analysis of knee-joint vibroarthrographic signals in power spectral analysis, biomedical signal processing and control, 8(1): 23-29
s. cai, s. yang, f. zheng, m. lu, *y. wu, s. krishnan. 2013. knee joint vibration signal analysis with matching pursuit decomposition and dynamic weighted classifier fusion, computational and mathematical methods in medicine, 2013: 904267
*y. wu, l. shi. 2011. analysis of altered gait cycle duration in amyotrophic lateral sclerosis based on nonparametric probability density function estimation, medical engineering and physics, 33(3): 347-355
*y. wu, s. krishnan. 2011. combining least-squares support vector machines for classification of biomedical signals: a case study with knee-joint vibroarthrographic signals, journal of experimental and theoretical artificial intelligence, 23(1): 63-77
*y. wu, s. krishnan. 2010. statistical analysis of gait rhythm in patients with parkinson's disease, ieee transactions on neural systems and rehabilitation engineering, 18(2): 150-158